Senior Machine Learning Engineer, Vice President

Citi Handlowy

Tampa, Florida, United States
$125,600.00 - $188,400.00 py
Not specified (likely hybrid or flexible given the global team setup).
Designing, building, deploying ml systems
Advanced nlp and generative ai (llm)
Technical leadership
Citi Handlowy is seeking a Senior Machine Learning Engineer for their Tampa location, focusing on designing, building, and deploying scalable machine learning systems, particularly in NLP and Generative AI. The role emphasizes technical leadership, collaboration across global teams, and the ability to mentor junior engineers

Job Summary

  • Lead the design and architecture of robust, scalable, and high-performance machine learning systems, ensuring seamless integration with existing platforms.
  • Own the end-to-end lifecycle of deploying and operationalizing machine learning models in production environments, ensuring efficiency, reliability, and maintainability.
  • Integrate risk assessment and compliance considerations into ML system design and deployment, ensuring adherence to applicable laws, regulations, and internal policies.

Matching Summary

Match Score: 85

Citi Handlowy is seeking a Senior Machine Learning Engineer for their Tampa location, focusing on designing, building, and deploying scalable machine learning systems, particularly in NLP and Generative AI. The role emphasizes technical leadership, collaboration across global teams, and the ability to mentor junior engineers.

Salary

$125,600.00 - $188,400.00

Skills & Requirements

Must-have

  • designing, building, deploying ML systems
  • advanced NLP and Generative AI (LLM)
  • technical leadership
  • production-grade AI solutions
  • Python for ML development
  • PySpark for data processing
  • MLOps practices and tools

Nice-to-have

  • graph neural networks
  • graph databases
  • distributed systems for ML

Key Requirements

  • 5+ years of experience in ML Engineering, MLOps, or AI system development
  • Minimum 2 years of direct experience in Generative AI/LLM solutions
  • Proficiency in Python, scikit-learn, pandas, SpaCy, TensorFlow, PyTorch, Hugging Face Transformers
  • Experience with PySpark, Hadoop, Spark, Hive, Hue
  • Experience with MLOps tools (Docker, Kubernetes, MLflow, Airflow, CI/CD)
  • Familiarity with cloud platforms (AWS, Azure, GCP)

Work Rights

Not specified

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